Hash Function based on Efficient Chaotic Neural Network
Résumé
This paper presents an efficient algorithm for constructing
a secure Hash function based on Chaotic Neural Network
structure. The proposed Hash function includes two main
operations: Generation of Neural Network parameters using fast
and efficient Chaotic Generator and Iteration of the message
through the Chaotic Neural Network. Our theoretical analysis
and experimental simulations showed that the implemented
Hash function has good statistical properties, strong Collision
Resistance and High Message Sensitivity.